Unknown

Dataset Information

Identification of mitophagy-related biomarkers and immune infiltration in polycystic ovarian syndrome by bioinformatic study.


ABSTRACT:

Background

Polycystic ovarian syndrome (PCOS) is a common endocrine and metabolic disorder in women of reproductive age. In this study, we aimed to investigate the potential prognostic value of mitophagy-related genes in PCOS patients and to analyze their role in immune infiltration during PCOS pathogenesis and progression.

Methods

Training datasets were used for differential expression genes. Gene ontology annotations and Kyoto encyclopedia of genes and genomes signaling pathway enrichment analysis were performed. The potential biomarkers of mitophagy-related and immune infiltration in PCOS were screened by protein-protein interaction network using different algorithms, and the area under the curve was calculated to analyze their diagnostic value. The test datasets were use

SUBMITTER: Ye H 

PROVIDER: S-EPMC11799972 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature